Harmonizing Profit and Planet: A Geo-Informed Machine-Learning for Environmental Accounting

In the face of escalating environmental crises, there is a pressing need to integrate sustainability with corporate and national growth agendas. Environmental accounting emerges as a crucial discipline, aiming to bridge the gap between economic success and environmental sustainability. Enhanced by modern technologies like Machine Learning (ML) and Geographic Information Systems (GIS), this project seeks to redefine environmental accounting to include comprehensive, data-driven environmental impact assessments.

The primary goal is to explore the role of environmental accounting within key global industries, particularly the European steel and Australian mining sectors.

This involves:

1. Analyzing the influence of environmental accounting on corporate decision-making.
2. Quantifying and predicting environmental impacts using ML and GIS.
3. Assessing the stakeholder value of environmental disclosures.
4. Exploring environmental accounting as an innovation catalyst.
5. Examining the relationship between environmental practices and financial performance.
6. Improving environmental accounting methods through advanced data analytics.

By focusing on the European steel and Australian mining industries, the project aims to provide insights into the sustainability practices and impacts of these crucial sectors. The integration of ML and GIS allows for a unique perspective on how environmental accountability can coexist with economic objectives, providing a model for other sectors and industries.

The project anticipates significant contributions to environmental accounting practices, offering new methodologies for measuring and reporting environmental impacts, insights into the spatial distribution of environmental effects, and enhanced tools for corporate and policy decision-making.

This project is set at the intersection of technology, environmental science, and economic policy, aiming to develop a sustainable framework that aligns business practices with environmental preservation. The findings are expected to influence a broad spectrum of industries, guiding them towards more sustainable operations and decision-making practices.